Case studies

Mobility solutions map during road works

Issy-les-Moulineaux is one of the municipalities of Greater Paris, located in the southwest of the urban agglomeration. Due to its location and economic vitality, this area of the Paris Region faces substantial traffic volumes because many people from the whole Paris area transit to or through Issy for work by car.

In this context, Issy-les-Moulineaux, and the related urban agglomeration Grand Paris Seine Ouest, are heavily impacted by the decision of the central government to create, by law, a public company, Société du Grand Paris, who will deliver an ambitious project building a new automated metro line.

This major infrastructure project will see several phases of roadworks which will make Cities and other local authorities face increased traffic volumes and, more generally, congestion issues and high pressure on transport services. To this end, Issy needs to understand the consequences of the scheduled roadworks and to be able to define mitigating actions to tackle any issues arising from them. Data visualisation will help to:

  • Define overall traffic situation
  • Detect “Hot Points” and possible solutions

This visualisation allows to define all the needed data granularities, it will be possible to understand how the roadworks will/have impacted the overall traffic as this makes possible to define:

  • A comparison between two periods;
  • Identification of the Free Flow Speed vs. Actual Speed
  • Most congestioned periods and road segments
  • Congestion by day and hour of the wee

These can then be compare to data from other mobility services to identify how those solutions may also impact traffic.

Particularly, following the post-lockdown of COVID, Issy started following the data on use of bikes to compare it to car traffic. This would help to understand if new policies in place due to COVID are helping to change behaviors of users. 

Challenges encountered:

The biggest challenge is related to the collection of data as most of traffic data is today in the hand of private stakeholders and, at the same time, we have a big division of competences of public bodies on this subject. In a metropolitan area, you have various road segments and those are often managed by different bodies (city, department, urban agglomeration and region), this makes hard to have data, and particularly harmonized one, on all road segments.

Moreover, it has to be noticed how in a metropolitan area, it is somehow useless to have just the data about one City as this can just act on a small part of the area, making less effective any policies on the ground if this is not taking into consideration also data of neighbor cities.

Finally, data of traffic is often not compliant with the one of other mobility services, thus it is requested to find compromises to make the visualisations useful enough to make comparisons between the various services and to allow to have useful insights to evaluate the existing policies and services.

The challenges encountered can be summarized as:

  • Fragmented territorial competences: the City has the limited role that the City plays in Mobility. Co-creation is necessary.
  • Lack of Data: data is not always available in a metropolitan area and it requests agreements with providers
  • Business model: data can become old quickly and has high costs, how to find a fruitful business model?


  • Issy Média, leader and coordinator of the project
  • City of Issy-les-Moulineaux, policy maker
  • Grand Paris Seine Ouest Urban Agglomeration, policy maker
  • BeMobile France (formerly Mediamobile), data provider
  • SenX, data analysis
  • Geosparc, visualisation technical partner

Actions steps:

The traffic data was collected through a provider, Mediamobile, that proposed 2017 and 2018 Paris Region traffic floating car data. 

Later, a first visualisation was created to collect the first feedbacks from users and policy makers.

A more advanced visualisation, i.e. a dashboard with map, is going to be created to allow to take deeper the pilot and to define the usefulness of these tools in a policymaking environment was created:


Lessons learned:

The work and the pilot in the framework of this use case has been really important as they allowed to have a deep learning in:

  • Defining bottlenecks in use of data in policy making:
  • Identifying collaborations on the ground between Private and Public bodies on data

In this case, it was particularly clear that:

  • Data becomes old quickly
  • Data needs to be historical with real time (or short time) updates
  • Better knowledge of a co-creation process on data, particularly on a PP partnership

Thanks to this work, various projects were launched, but taking into consideration a new approach taking into consideration various lessons learnt:

  • Making a good scenario, realistic and not to ambitious
  • Defining a local stakeholders’ group for every project 
  • Identifying the goals very clearly and the data associated to it


Outcome impact:

The City of Issy-les-Moulineaux, following the experience in PoliVisu, started to work on various projects:

  • Creation of dashboards associated to KPIs to link decision makers with operational level
  • A new strategy strongly related to data with a CO2 dashboard

This dashboard allowed to create a real vision around data and its use, even if the dashboard, due to the various bottlenecks encountered, couldn’t be fully adopted. In any case, this was also really helpful in the other pilot conducted by Issy.


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